CanadaCanada wants clearerCanadaCanada watch
Canada wants clearer AI disclosures. Here is what useful transparency looks like.
Labels, incident records and agent logs could change how Canadian organizations design AI products.
Canada AI news, guides and analysis.
Canadian artificial intelligence policy, companies, research institutions, infrastructure and public-sector decisions.
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18 articlesCanadaCanada wants clearer
CanadaSovereign AI computeCanadaCanada watch
Sovereign AI compute is becoming Canadian industrial policy.
Who gets access to chips, power and data-centre capacity may shape the next generation of Canadian companies.
CanadaWhat Canada’s AICanadaCanada watch
What Canada’s AI Safety Institute can actually do.
Testing, measurement and international coordination matter only if findings reach deployers and the public.
CanadaHow the federalCanadaCanada watch
How the federal government is approaching generative AI at work.
Public servants need useful tools, but public records, privacy and explainability raise the bar.
CanadaQuebec privacy lawCanadaCanada watch
Quebec privacy law changes the AI product checklist.
Automated decisions, profiling and personal data require more than a generic privacy notice.
CanadaOntario’s public sectorCanadaCanada watch
Ontario’s public sector is a proving ground for responsible AI procurement.
Buying rules can reward evidence, interoperability and accountability before a system reaches residents.
CanadaBilingual AI needsCanadaCanada watch
Bilingual AI needs more than translated prompts.
English and French performance can diverge across retrieval, safety filters, tone and specialized vocabulary.
CanadaAI projects mustCanadaCanada watch
AI projects must respect Indigenous data sovereignty from the start.
Consent, governance and benefit-sharing cannot be bolted onto a dataset after collection.
CanadaThe Vector Institute’sCanadaCanada watch
The Vector Institute’s enterprise lesson: evaluation comes before scale.
Canadian organizations need evidence from their own workflows, not a leaderboard borrowed from a model card.
CanadaWhy Mila’s responsible-AICanadaCanada watch
Why Mila’s responsible-AI work matters beyond the lab.
Research on social impact, safety and governance can help deployers ask better questions before harm appears.
CanadaAlberta’s applied-AI advantageCanadaCanada watch
Alberta’s applied-AI advantage is the bridge between research and operations.
Amii’s model shows why training, implementation and local industry knowledge need to move together.
CanadaCohere’s Canadian opportunityCanadaCanada watch
Cohere’s Canadian opportunity is private, controlled enterprise AI.
The pitch is less about a public chatbot and more about models that can work within organizational boundaries.
CanadaCanadian AI startupsCanadaCanada watch
Canadian AI startups need patient customers as much as capital.
Funding starts the company; procurement, compute and repeat buyers determine whether it stays.
CanadaHealthcare AI inCanadaCanada watch
Healthcare AI in Canada must prove itself inside the care pathway.
Accuracy in a paper is not the same as better decisions, shorter waits or safer care.
CanadaCanadian farms areCanadaCanada watch
Canadian farms are turning AI into a field-level operations tool.
Forecasting, crop imaging and autonomous equipment promise efficiency, but connectivity and farm economics decide adoption.
CanadaAI wildfire forecastingCanadaCanada watch
AI wildfire forecasting is useful only when it reaches the decision room.
Better maps and forecasts must connect to evacuation, staffing and public communication.
CanadaCanada trains AICanadaCanada watch
Canada trains AI talent. Keeping it requires a stronger scale-up economy.
Researchers need ambitious projects, compute, compensation and a path to build global companies at home.
CanadaHybrid AI weatherCanadaCanada watch
Hybrid AI weather models could give Canada faster forecasts without discarding physics.
The most promising systems combine learned patterns with the discipline of physical forecasting.